An Improved Domain Decomposition Method for Drop Impact Reliability Analysis of 3D ICs



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Institute of Electrical and Electronics Engineers Inc.


Drop test is usually adopted in the integrated circuit (IC) testing to estimate the shock resistance capability of IC packaging. Generally, it is very time consuming for the drop test simulation, therefore, the fast numerical approach is generally needed to reduce the computational cost. In this paper, we propose an efficient drop-test simulator for through-siliconvia (TSV) based three-dimensional integrated circuit (3D IC) to simulate its mechanical behaviors under drop impact. The proposed simulator is based on the idea of domain decomposition (DD) to improve the condition number of the coefficient matrix of the solver. We further develop two efficient numerical techniques in the simulator to improve its efficiency. First, a second order formulation is proposed for the initial solution selection in preconditioned conjugate gradient (PCG) solver, which can efficiently reduce the number of PCG iterations at each time point during simulation. And second, an equivalent structureembedded model is proposed and applied in the first Schwarz iteration to efficiently reduce the number of Schwarz iterations in DD method. Numerical experiments show that the proposed drop-test simulator can achieve 7.03× speedup in comparison with the conventional FEM-based solver. It is demonstrated in the paper in the paper through several examples with multi chip layers, of which each chip layer consists of an 8 × 8 TSV array, that the proposed simulator can be widely applied to reliability analysis of 3D ICs under drop impact.


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Reliability, Chip scale packaging, Integrated circuits—Design and construction, Integrated circuits, Iterative methods (Mathematics), Number theory, Accelerated life testing, Simulation methods, Timing circuits, Three-dimensional integrated circuits

National Key Research and Development Program of China grant 2016YFB0201304, National Natural Science Foundation of China Research Project grants 61376040, 61574046, 61774045, 61574044, 61628402, 11771440, 91530323, and 11101417. Key Research Program of the Chinese Academy of Sciences grant XDPB11,


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